Job Title

Data Engineer (Pipeline + Scraping + Enrichment) — BhashsmsLocation: BangaloreExperience: 1–3 yearsCompensation: ₹8–12 LPARole Type: Hands-on IC About the RoleWe process millions of phone numbers, business profiles, and campaign interactions.We need a Data Engineer who can build and scale data pipelines to support AI models and enrich SME data.This role is perfect for someone who loves:ScrapingETLData cleaningAutomating workflowsFast execution What You Will Build (First 180 Days)1. Data Ingestion PipelinesScrape open directoriesParse public business informationIntegrate partner APIsBuild clean datasets2. Data Cleaning + NormalizationRemove duplicatesStandardize numbersTag location, industry, business typeBuild category mapping files3. Enrichment PipelinesInfer attributesBuild connection graphsSupport the Data Scientist with clean feature-ready data Skills RequiredMust HavePython (requests, BeautifulSoup, Selenium optional)SQLETL tools or custom scriptsExperience with large CSV/JSON processingAPI integrationGood to HaveKafka / Airflow basicsScrapyAWS / GCPBasic ML familiarity (not mandatory) ResponsibilitiesBuild scalable scraping systemMaintain clean, up-to-date datasetsCreate ETL pipelines for ML modelsEnsure high data qualityDebug pipeline failuresSupport DS and CTO with data requirements